Datasets.
This paper focuses on the detection transformers' data efficiency. Thus most of our experiments are conducted on small-size datasets including Cityscapes [1]} and down-sampled COCO 2017 [2]}. Specifically, the Cityscapes dataset contains 2,975 images for training and 500 images for evaluation. For the down-sampled COCO 2017 dataset, the training images are randomly down-sampled by 0.1, 0.05, 0.02, and 0.01, while the evaluation set is kept unchanged. Besides, we also validate the effectiveness of our method on the full-size COCO 2017 dataset with 118K training images.
